# -*- coding: utf-8 -*- # This sample demonstrates handling intents from an Alexa skill using the Alexa Skills Kit SDK for Python. # Please visit https://alexa.design/cookbook for additional examples on implementing slots, dialog management, # session persistence, api calls, and more. # This sample is built using the handler classes approach in skill builder. import logging import gettext from ask_sdk_core.skill_builder import SkillBuilder from ask_sdk_core.dispatch_components import ( AbstractRequestHandler, AbstractRequestInterceptor, AbstractExceptionHandler) import ask_sdk_core.utils as ask_utils from ask_sdk_core.handler_input import HandlerInput from ask_sdk_model import Response from alexa import data logger = logging.getLogger(__name__) logger.setLevel(logging.INFO) class LaunchRequestHandler(AbstractRequestHandler): """Handler for Skill Launch.""" def can_handle(self, handler_input): # type: (HandlerInput) -> bool return ask_utils.is_request_type("LaunchRequest")(handler_input) def handle(self, handler_input): # type: (HandlerInput) -> Response _ = handler_input.attributes_manager.request_attributes["_"] speak_output = _(data.WELCOME_MESSAGE) return ( handler_input.response_builder .speak(speak_output) .ask(speak_output) .response ) class HelloWorldIntentHandler(AbstractRequestHandler): """Handler for Hello World Intent.""" def can_handle(self, handler_input): # type: (HandlerInput) -> bool return ask_utils.is_intent_name("HelloWorldIntent")(handler_input) def handle(self, handler_input): # type: (HandlerInput) -> Response _ = handler_input.attributes_manager.request_attributes["_"] speak_output = _(data.HELLO_MSG) return ( handler_input.response_builder .speak(speak_output) # .ask("add a reprompt if you want to keep the session open for the user to respond") .response ) class HelpIntentHandler(AbstractRequestHandler): """Handler for Help Intent.""" def can_handle(self, handler_input): # type: (HandlerInput) -> bool return ask_utils.is_intent_name("AMAZON.HelpIntent")(handler_input) def handle(self, handler_input): # type: (HandlerInput) -> Response _ = handler_input.attributes_manager.request_attributes["_"] speak_output = _(data.HELP_MSG) return ( handler_input.response_builder .speak(speak_output) .ask(speak_output) .response ) class CancelOrStopIntentHandler(AbstractRequestHandler): """Single handler for Cancel and Stop Intent.""" def can_handle(self, handler_input): # type: (HandlerInput) -> bool return (ask_utils.is_intent_name("AMAZON.CancelIntent")(handler_input) or ask_utils.is_intent_name("AMAZON.StopIntent")(handler_input)) def handle(self, handler_input): # type: (HandlerInput) -> Response _ = handler_input.attributes_manager.request_attributes["_"] speak_output = _(data.GOODBYE_MSG) return ( handler_input.response_builder .speak(speak_output) .response ) class SessionEndedRequestHandler(AbstractRequestHandler): """Handler for Session End.""" def can_handle(self, handler_input): # type: (HandlerInput) -> bool return ask_utils.is_request_type("SessionEndedRequest")(handler_input) def handle(self, handler_input): # type: (HandlerInput) -> Response # Any cleanup logic goes here. return handler_input.response_builder.response class IntentReflectorHandler(AbstractRequestHandler): """The intent reflector is used for interaction model testing and debugging. It will simply repeat the intent the user said. You can create custom handlers for your intents by defining them above, then also adding them to the request handler chain below. """ def can_handle(self, handler_input): # type: (HandlerInput) -> bool return ask_utils.is_request_type("IntentRequest")(handler_input) def handle(self, handler_input): # type: (HandlerInput) -> Response _ = handler_input.attributes_manager.request_attributes["_"] intent_name = ask_utils.get_intent_name(handler_input) speak_output = _(data.REFLECTOR_MSG).format(intent_name) return ( handler_input.response_builder .speak(speak_output) # .ask("add a reprompt if you want to keep the session open for the user to respond") .response ) class CatchAllExceptionHandler(AbstractExceptionHandler): """Generic error handling to capture any syntax or routing errors. If you receive an error stating the request handler chain is not found, you have not implemented a handler for the intent being invoked or included it in the skill builder below. """ def can_handle(self, handler_input, exception): # type: (HandlerInput, Exception) -> bool return True def handle(self, handler_input, exception): # type: (HandlerInput, Exception) -> Response logger.error(exception, exc_info=True) _ = handler_input.attributes_manager.request_attributes["_"] speak_output = _(data.ERROR) return ( handler_input.response_builder .speak(speak_output) .ask(speak_output) .response ) class LocalizationInterceptor(AbstractRequestInterceptor): """ Add function to request attributes, that can load locale specific data """ def process(self, handler_input): locale = handler_input.request_envelope.request.locale i18n = gettext.translation( 'data', localedir='locales', languages=[locale], fallback=True) handler_input.attributes_manager.request_attributes["_"] = i18n.gettext # The SkillBuilder object acts as the entry point for your skill, routing all request and response # payloads to the handlers above. Make sure any new handlers or interceptors you've # defined are included below. The order matters - they're processed top to bottom. sb = SkillBuilder() sb.add_request_handler(LaunchRequestHandler()) sb.add_request_handler(HelloWorldIntentHandler()) sb.add_request_handler(HelpIntentHandler()) sb.add_request_handler(CancelOrStopIntentHandler()) sb.add_request_handler(SessionEndedRequestHandler()) # make sure IntentReflectorHandler is last so it doesn't override your custom intent handlers sb.add_request_handler(IntentReflectorHandler()) sb.add_global_request_interceptor(LocalizationInterceptor()) sb.add_exception_handler(CatchAllExceptionHandler()) handler = sb.lambda_handler()